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OpusMT-Ja-En

OpusMT Japanese to English neural machine translation model based on MarianMT transformer architecture.

OpusMT Japanese to English translation model is a state‑of‑the‑art neural machine translation system designed for translating Japanese text into English. This model is based on the Marian transformer architecture and has been optimized for edge inference by splitting into encoder and decoder components with modified attention mechanisms. It exhibits robust performance for real‑world translation tasks, making it highly reliable for practical applications. The model supports input sequences up to 256 tokens and can generate Japanese translations with high accuracy.

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Technical Details

Attention heads:8
Hidden dimension:512
Input resolution:256 tokens (Japanese text)
Max input sequence length:256 tokens
Max output sequence length:256 tokens
Model checkpoint:Helsinki-NLP/opus-mt-ja-en
Model size (decoder) (float):340 MB
Model size (decoder) (w8a16):90.8 MB
Model size (encoder) (float):212 MB
Model size (encoder) (w8a16):55.2 MB
Number of decoder layers:6
Number of encoder layers:6
Number of parameters (decoder):55.7M
Number of parameters (encoder):55.5M

Applicable Scenarios

  • Smart Home
  • Accessibility

License

Tags

  • foundation

Supported IoT Devices

  • Arduino VENTUNO Q
  • Dragonwing IQ-9075 EVK
  • Dragonwing IQ-X5121
  • Dragonwing IQ-X7181
  • Dragonwing Q-8750
  • QCS8550 (Proxy)

Supported IoT Chipsets

  • Qualcomm® QCS5121
  • Qualcomm® Dragonwing™ IQ-X7181
  • Qualcomm® Dragonwing™ IQ-8275
  • Qualcomm® Dragonwing™ QCS8550 (Proxy)
  • Qualcomm® Dragonwing™ Q-8750
  • Qualcomm® Dragonwing™ IQ-9075

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